Bernard C. E. Scott

This three-part paper presents Gordon Pask’s conversation theory (CT) and interaction of actors theory (IA) and outlines ways to apply these cybernetic approaches to designing technologies and scenarios for both formal and informal learning. The first part of the paper covers concepts central to CT and IA, explaining the relationship between conceptual and mechanical operators, and machines mediating informal and formal learning. The second part of the paper applies visual representations of CT and IA to understanding the use of Pask’s course assembly systems (CASTE and THOUGHTSTICKER), created between the late 1960s and the 1980s, and the ThoughtShuffler search interface, created in the 2010s. The third part proposes two pathways for design based on CT and IA: firstly, the potential for designers and observers to reformulate the qualities of tools and learning scenarios to augment human thinking and collective action; and secondly, the possibility to create tools with malleable interfaces that allow users to become intermediaries rather than consumers of knowledge.

This workshop unearths the potential of applying principles of cybernetics to curriculum and educational technology design. Here, we focus on using technology-assisted learning scenarios at the confluence of education, psychology, and computer science as an asset for adults to learn the skills for critical Internet navigation; skills we argue are an integral part of life in the Information Age. The first part of the workshop begins with an introduction to what von Foerster called Gordon Pask’s first theorem (a basic framework of human-tool conversations), which was used to design classes in heuristics at the University of Illinois, Urbana, and involved project-based community and artefact development. It then describes how this approach was replicated to co-design educational psychology classes at The Ohio State University in 2022-2023 to help preservice teachers engage in metareflection about their future careers. A small group discussion between workshop participants follows to understand how tools and activities used in these classes (social media, block programming, co-authoring, podcasting) can be adapted for other subject classrooms. The second part of the workshop focuses on fine-tuning the build of educational technologies like search engines to spur concept development. We invite volunteers to interact with our Paskian search engine, ThoughtShuffler, which uses an uncertainty regulation mechanism to organize search results for lateral reading, and present results from an experimental study showing the tool has the potential to engender higher-order reflectivity in information search. We suggest principles of cybernetics can be used to co-design sociotechnical systems and sharpen both human and machine functioning within them, presenting hopes for human adaptation to an information-saturated future.

Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: In making a contribution to artificial intelligence research, Perotto has taken note of work on human cognition. However, there are certain aspects of human cognition that are not taken into account by the author’s model and that, generally, are overlooked or ignored by the artificial intelligence research community at large

Context: Both Luhmann and Pask have developed detailed theories of social systems that include accounts of the role of learning. Problem: Rather than see the theories as competing, we believe it is worthwhile to seek ways in which a useful synthesis of the two approaches may be developed. Method: We compare the two approaches by identifying key similarities and differences. Results: We show it is possible to make useful mappings between key concepts in the two theories. Implications: We believe it is worthwhile for social scientists to be familiar with the two theories and that it is not a case of “either/or,” rather, it is a case of “both/and.”

Context: The field of psychology consists of many specialist domains of activity, which lack shared foundations. This means that the field as a whole lacks conceptual coherence. Problem: The aim of the article is to show how second-order cybernetics can provide both foundations and a unifying conceptual framework for psychology. Method: The field of psychology is overviewed. There is then a demonstration of how cybernetics can provide both foundations and a unifying conceptual framework. This entails defining some key cybernetics concepts and showing how they have already permeated the field, largely implicitly, and showing how, when made explicit, they can unify the field. Results: I show how concepts from second-order cybernetics can unify “process” and “person” approaches within psychology and can also unify individual psychology and social psychology, a unification that also builds conceptual bridges with sociology. Implications: The results are of value for bringing order to an otherwise inchoate field. They afford better communication between those working in the field, which is likely to give rise to new research questions and more effective ways of tackling them. Constructivist content: Central to the article is a reliance on concepts taken from the constructivist perspective of second-order cybernetics.

Context: Although there are rich descriptive accounts of skill acquisition in the literature, there are no satisfactory explanatory models of the cognitive processes involved. Problem: The aim of the paper is to explain some key phenomena frequently observed in the acquisition of motor skills: the loss of conscious access to knowledge of the structure of a skill and the awareness that an error has been made prior to the receipt of knowledge of results. Method: In the 1970s, the first author implemented a computer program model of the cognitive processes involved in learning and skill acquisition, based on a series of empirical investigations. Recently, with assistance from the second author, the model has been reviewed, updated and re-implemented. Result: The model provides a constructivist account of skill acquisition and associated phenomena. Implications: The model adds to the understanding of motor skill acquisition and will be of interest to researchers and practitioners in physical therapy and sports science. It is also provides a constructivist cognitive architecture that can be fruitfully contrasted with non-constructivist cognitive architectures well-known in cognitive science

Although it is conceded that distinct knowledge domains do presentparticular problems of coming to know, in thispaper it is argued that it is possible to construct a domain independent modelof the processes of coming to know, one inwhich observers share understandings and do soin agreed ways. The model in question is partof the conversation theory of Gordon Pask. CT, as a theory of theory construction andcommunication, has particular relevance forfoundational issues in science and scienceeducation. CT explicitly propounds a ``radicalconstructivist'' epistemology. A briefaccount is given of the main tenets of RC andCT's place in that tradition and the traditionsof cybernetics. The paper presents a briefnon-technical account of the main concepts ofCT including elaborations by Laurillard andHarri-Augstein and Thomas. As part of CT, Pask also elaborated a methodology – knowledgeand task analysis – for analysing the structureof different knowledge domains; thismethodology is sketched in outline